DeepAI AI Chat
Log In Sign Up

Evaluation of trackers for Pan-Tilt-Zoom Scenarios

by   Yucao Tang, et al.
Corporation de l'ecole Polytechnique de Montreal
Tencent QQ

Tracking with a Pan-Tilt-Zoom (PTZ) camera has been a research topic in computer vision for many years. Compared to tracking with a still camera, the images captured with a PTZ camera are highly dynamic in nature because the camera can perform large motion resulting in quickly changing capture conditions. Furthermore, tracking with a PTZ camera involves camera control to position the camera on the target. For successful tracking and camera control, the tracker must be fast enough, or has to be able to predict accurately the next position of the target. Therefore, standard benchmarks do not allow to assess properly the quality of a tracker for the PTZ scenario. In this work, we use a virtual PTZ framework to evaluate different tracking algorithms and compare their performances. We also extend the framework to add target position prediction for the next frame, accounting for camera motion and processing delays. By doing this, we can assess if predicting can make long-term tracking more robust as it may help slower algorithms for keeping the target in the field of view of the camera. Results confirm that both speed and robustness are required for tracking under the PTZ scenario.


page 1

page 2

page 3

page 4


Multi-camera Multi-Object Tracking

In this paper, we propose a pipeline for multi-target visual tracking un...

Fast-Tracker 2.0: Improving Autonomy of Aerial Tracking with Active Vision and Human Location Regression

In recent years, several progressive works promote the development of ae...

Robust Multi-body Feature Tracker: A Segmentation-free Approach

Feature tracking is a fundamental problem in computer vision, with appli...

Grab: Fast and Accurate Sensor Processing for Cashier-Free Shopping

Cashier-free shopping systems like Amazon Go improve shopping experience...

The Object Projection Feature Estimation Problem in Unsupervised Markerless 3D Motion Tracking

3D motion tracking is a critical task in many computer vision applicatio...

Szloca: towards a framework for full 3D tracking through a single camera in context of interactive arts

Realtime virtual data of objects and human presence in a large area hold...

Learning to Divide and Conquer for Online Multi-Target Tracking

Online Multiple Target Tracking (MTT) is often addressed within the trac...